senior bioinformatics specialist

Illumina

<div>What if the work you did every day could impact the lives of people you know? Or all of humanity?<div></div>
At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.<div></div>
Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.<div></div><div>
To accelerate the adoption of clinical sequencing, Illumina is recruiting a world-class Senior Bioinformatics scientist to work on the development of novel algorithms and production-ready software for deciphering the effects of genetic variants in the human genome.</div><div></div><div>
Major aims would include modeling the effects of genetic variants on gene function, transcriptional regulation, and diagnosis of pathogenic variants in patients with cancer or rare genetic diseases. A key objective is to develop robust, scalable software implementations of research results and publish these findings in peer-reviewed journals. This will improve the accuracy, throughput, and reproducibility of genome interpretation, thereby removing barriers to the clinical adoption of whole genome sequencing. In addition to strong analytical and software development skills, this position will require a high degree of initiative, autonomy, and scientific collaboration.</div><div></div><div>
Responsibilities</div><ul><li>
Contribute to the development of bioinformatics algorithms for interpreting human genetic data, supporting efforts to identify pathogenic genetic variants using information from clinical phenotypes, protein structures, and genomic data.</li><li>
Implement, test, and document software modules under the guidance of senior team members, with a focus on reliability, scalability, and efficiency.</li><li>
Support collaborations with internal and external partners by preparing datasets, running analyses, and contributing to project deliverables.</li><li>
Assist in preparing research results for internal reports, presentations, and publications, and contribute to integrating methods into software products for the genetics community.</li><li>
Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.</li></ul><div></div><div>
Preferred Requirements:</div><ul><li>
Knowledge in bioinformatics, statistics, deep learning, and/or genomics.</li><li>
Possesses strong communication skills</li><li>
Be willing to work in a fast-paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines.</li><li>
PhD in bioinformatics, computation biology, statistics, math or related field with 1+ years of experience</li><li>
Fluency in at least two of statistics, common bioinformatics methods NGS analysis, and oncology.</li><li>
Experience with developing bioinformatics NGS algorithms and methodology.</li><li>
Good communication skills to contribute to cross functional project teams and work with stakeholders.</li></ul> 
<div></div>
We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.</div>

Sr. Bioinformatics Scientist

NYU Langone Health

<div><div>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
 
 
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.
Position Summary: 
We have an exciting opportunity to join our team as a Senior Bioinformatics Programmer.
The Center for Human Genetics and Genomics is seeking an experienced bioinformatics programmer to join the deciphEHR team, pioneering genomic medicine at NYU Grossman School of Medicine. This role is a key part of a dynamic and rapidly growing project. The candidate will write software to optimize and integrate large-scale whole genome sequencing (WGS) processing and electronic health records (her) data. Specifically, the individual will develop the data infrastructure for processing and querying large genomic datasets by our end users, as well as be involved in cutting edge genomic medicine research. We seek an individual experienced in writing production grade bioinformatics pipelines with experience in database/ data warehouse integration in a research or clinical setting.
Job Responsibilities:
Develop production genomic workflows on HPC as well as cloud environments 
Develop a genomic data warehouse for efficient querying of large data using Glow 
Perform data processing and QC for genomic and clinical datasets 
Participate in data and software maintenance work for our team 
Document all required software, code, and experiments 
Extract and manage multidimensional descriptive, numeric and digital data from the EPIC EHR database for phenotype analysis
Minimum Qualifications: 
To qualify you must have a Master's degree in computer science/data science/bioinformatics/Statistics/Information Science or related technical disciplines. 
Proven programming skills in Python, Bash/UNIX, R. Proficient in Git for version control. 
At least one year experience with a big data technology such as Spark, Hadoop, etc. 
At least 3 years of experience with a workflow language (WDL, Snake-make), Docker/Singularity, and HPC. 
At least 4 years of experience with standard genomics bioinformatics tools (PLINK, GATK, etc). 
Must be able to work in a demanding and dynamic team environment and work independently. Knowledge of algorithms and data-structures. Experience with Web-based application development languages such as HTML/JavaScript. Must demonstrate excellent communication skills, both oral and written, within the team and end users.
Preferred Qualifications:
Ph.D. in Computer Science / Data Science / Bioinformatics/ Statistics/Information Science or related technical disciplines.
Candidates with a Master&rsquo;s degree in the above fields will be considered if they possess significant relevant experience.
Familiarity with Databricks for big data analytics and managing large-scale genomic datasets
Qualified candidates must be able to effectively communicate with all levels of the organization.
 
 
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
 
 
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
 
 
View Know Your Rights: Workplace discrimination is illegal.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $81,325.15 - $128,785.23 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div></div>

Senior Bioinformatics Programmer

Hays

<div>
 
 
 Senior Computational Biologist (AI/ML)
 
 
 
 
 United Arab Emirates
 
 
 
 
 Health Tech
 
 
 
 
 
 
 
 ** This role is open to candidates to work remotely with regular travel to UAE OR relocate to the UAE permanently **
 
 
 
 
 
 
 We are currently looking for a Senior Computational Biologist / Scientist to join a health tech company based out of Dubai.
 
 
 
 
 
 
 Technical experience needed:
 
 
 <ul>
 <li>
 Solid Python programming experience
 </li>
 <li>
 Proven AI experience (des, build, deploy)
 </li>
 <li>
 Rosetta / PyRosetta / AlphaFold, Schr&ouml;dinger etc.
 </li>
 <li>
 Antibody modeling
 </li>
 <li>
 Machine Learning &amp; Deep Learning (+ Docker)
 </li>
 <li>
 Protein to protein interaction, structure prediction &amp; engineering
 </li>
 <li>
 Molecular simulation techniques
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 PhD Bioinformatics or other relevant scientific degree
 </li>
 <li>
 Proven background in research and publications
 </li>
 </ul>
 
 
 
 
 If you feel like you have the above skills and experience please apply and share your CV with us so that we can arrange a confidential conversation.
 
 
 
 
 
 
 **Only applicants with the relevant skillset will be contacted**
 
 
</div>

Senior Computational Biologist (AI/ML)

Teacher of Arts (High school) Philosophy of the Arts (HKU)

<div>
 The University of Hong Kong
 
 
 Apply now
 
 Ref.:
 
 533460
 
 
 
 Work type:
 
 Full-time
 
 
 
 Department:
 
 Centre for PanorOmic Sciences (22200)
 
 
 
 Categories:
 
 Executive / Technical / Support
 
 
 Hong Kong
 
 
 
 Bioinformatics Manager (at the rank of Technical Manager) in Bioinformatics Core of the Centre for PanorOmic Sciences (CPOS)
 
 (Ref.: 533460) (to commence as soon as possible, on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary, with the possibility of renewal subject to satisfactory performance)
 
 
 
 Come and Join Us
 
 
 
 Centre for PanorOmic Sciences (CPOS) is an academic research-support centre embracing multi-omics and big data biomedical research under the LKS Faculty of Medicine. CPOS core laboratories host state-of-the-art technology platforms with sophisticated equipment supported by over 75 dedicated members. Welcome to visit https://cpos.hku.hk to explore more.
 
 
 
 The Role
 
 
 
 <ul>
 <li>
 Assist the Core Manager with daily operations, strategic planning, and service development
 </li>
 <li>
 Lead and deliver bioinformatics analyses for high-throughput sequencing and multi-omics projects
 </li>
 <li>
 Supervise, train, and mentor junior bioinformaticians and research staff
 </li>
 <li>
 Develop, maintain, and optimise reproducible analysis pipelines and workflows
 </li>
 <li>
 Provide expert consultation to researchers on study design, analysis, and data interpretation
 </li>
 <li>
 Coordinate with other CPOS cores to ensure integrated and efficient service delivery
 
 
 </li>
 </ul>
 
 Qualifications And Qualities
 
 
 
 <ul>
 <li>
 Ph.D. degree in Bioinformatics, Computer Science, Biological Sciences or related disciplines
 </li>
 <li>
 At least 10 years' relevant experience, including a minimum of 3 years in a supervisory or team-lead role
 </li>
 <li>
 Background or experience in a bioinformatics core facility, service platform, or academic setting is an advantage
 </li>
 <li>
 Strong technical skills in Python, R, Linux/Unix, workflow management, and reproducible research practices
 </li>
 <li>
 Expertise in one or more of the following areas: genomics, transcriptomics, single-cell, or epigenomics data analysis
 </li>
 <li>
 Excellent communication skills, proactive, independent and enjoy teamwork
 </li>
 <li>
 Willing to meet new challenges and able to meet tight deadlines
 
 
 </li>
 </ul>
 Shortlisted candidates will be invited to attend an interview. Those who have responded to the previous advertisement (Ref.: 533322) need not re-apply.
 
 
 A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits, continuing professional development, and free access to on-campus gyms and libraries.
 
 
 The University only accepts online application for the above post. Applicants should apply online at the University&rsquo;s careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until
 
 November 30, 2025
 
 , or until the post is filled, whichever is earlier.
 
 
 
 Advertised:
 
 Nov 1, 2025 (HK Time)
 
 
 
 Applications close:
 
 Nov 30, 2025 (HK Time)
 
 
 Back to search results Apply now
 
 
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</div>

Bioinformatics Manager (at the rank of Technical Manager) in Bioinformatics Core

NVIDIA

<div>NVIDIA is at the forefront of revolutionizing healthcare by harnessing the power of GPU computing and AI to redefine data analysis in fields such as genomics and personalized medicine. We are on the lookout for hardworking and committed individuals to join our mission in integrating genomic solutions into mainstream healthcare.
As a healthcare HPC engineer, you will join a dynamic development team focused on bioinformatics algorithm development and collaborating with industry and academic partners. You will have the opportunity to define, implement, productize, and deliver high-performance computing software for a wide range of biology applications used worldwide. If you thrive in tackling challenging computational problems in healthcare, this is the perfect opportunity for you!
What You'll be Doing:<ul><li>
Study and explore innovative techniques in bioinformatics, graph algorithms, machine learning, develop, deploy, and deliver brand-new computing software for a diverse array of bioinformatics applications used globally</li><li>
Perform detailed performance analysis and optimization to ensure optimal performance on current and next-generation GPU architectures.</li><li>
Collaborate with lighthouse clients and academic collaborators to understand their current and future challenges and provide outstanding HPC solutions.</li><li>
Collaborate closely with hardware engineering, CUDA engineering, and AI research groups to apply the latest technology to enable novel genomic analysis at scale.</li></ul>
What We Need to See:<ul><li>
Bachelor's / Master's degree in Computer Science, a related technical field, or equivalent experience.</li><li>
5+ years of experience n related field.</li><li>
Solid understanding of C/C++, CUDA, software design, and programming techniques.</li><li>
Experience with the design and implementation of sophisticated algorithms and data structures.</li><li>
Experience with GPU programming, debugging and performance tuning on NVIDIA GPUs.</li><li>
Knowledge and understanding of parallel programming, thread programming, concurrency control, memory management and scalability.</li><li>
Strong understanding of computer system architecture and operating systems.</li></ul>
Ways To Stand Out from the Crowd:<ul><li>
Hands-on experience in using LLM, Graph Neural Network, Graph Transformer Network particularly those applied to genomics data.</li><li>
Strong collaborative and interpersonal skills to effectively guide and influence within a multifaceted, technical environment.</li><li>
Breaking a sophisticated problem to smaller modules that are fairly independent.</li></ul>
NVIDIA is recognized as one of the most innovative and desirable employers in the technology sector. We are home to some of the brightest and most hardworking individuals globally.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until November 14, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div>

Senior System Software Engineer – Genomics HPC

<div>NVIDIA is at the forefront of redefining healthcare by harnessing the power of GPU computing and AI to redefine data analysis in fields such as genomics and personalized medicine. We are on the lookout for hardworking and committed individuals to join our mission in integrating AI driven genomic solutions into mainstream healthcare. As a Genomics Deep Learning Engineer, you will be part of an innovative team dedicated to the development of deep learning algorithms tailored for genomics applications. This role offers the outstanding chance to define, implement, productize, and deliver innovative computing software that will have a global impact on genomics community. If you are driven by solving complex computational challenges in the genomics field, this role is tailor-made for you!
What you'll be doing:<ul><li>
Develop and refine deep learning models and techniques for genomics analysis, including but not limited to DNA sequencing, variant calling, and model prediction.</li><li>
Advance and apply modern Deep Learning techniques to develop Large Language Models (LLMs), Graph Neural Networks, Graph Transformer Networks, and comprehensive multi-modal models in genomics.</li><li>
Design and implement machine learning techniques to tailor foundation models for downstream genomic specific tasks.</li><li>
Generate and manage datasets for large-scale machine learning, focusing on learning from genomics specific applications.</li><li>
Collaborate closely with product and hardware architecture teams to ensure flawless integration of research and development into NVIDIA products.</li><li>
Work in tandem with engineering and AI research teams to employ the latest technologies for scalable and innovative genomics analysis.</li></ul>
What we need to see:<ul><li>
Master or Ph.D. in Computer Science, Bioinformatics, or Computational Biology, or related field (or equivalent experience).</li><li>
3+ years of experience in related field.</li><li>
Proficiency in C/C++ and Python, with a strong grasp of software design and programming principles.</li><li>
Background with Large Language Models (LLMs) and natural language processing (NLP), Generative AI and Foundation Models.</li><li>
Strong proficiency with modern frameworks such as PyTorch and TensorFlow, Experience with Large scale inferencing.</li><li>
Experience in building and implementing complex algorithms and data structures, with a focus on bioinformatics or genomics applications.</li><li>
Deep understanding of computer system architecture, operating systems, and the challenges associated with large-scale genomic data analysis.</li></ul>
Ways to stand out from the Crowd:<ul><li>
Hands-on experience in using LLM, Graph Neural Network, Graph Transformer Network particularly those applied to genomics data.</li><li>
Strong collaborative and interpersonal skills to effectively work and influence within a dynamic, technical environment.</li><li>
Ability to decompose complex requirements into step by step tasks and reuse available solutions to implement most of those.</li></ul>
NVIDIA is recognized as one of the most innovative and desirable employers in the technology sector. We are home to some of the brightest and most hardworking individuals globally.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until November 14, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div>

Senior Deep Learning Engineer - Genomics

Merck

<div>Job Description
We are seeking an Associate Principal Scientist to contribute to a pivotal role in our Inventory and Data Management team in our company Biomarker Operations group within Translational Medicine. The mission of this role is to design, build, and deploy the digital infrastructure that manages our biomarker specimen assets. You will transform a complex landscape of biomarker specimen data into a streamlined, accessible, and intelligent ecosystem. By automating workflows, powerful analytics, and stewarding these data, you will empower our scientists and clinical teams to make faster, data-driven decisions that propel our pipeline forward.
In this pivotal role, you will:
<ul><li>Be responsible for integrating, cleaning, and governing disparate data sources such as biorepositories, central, and testing labs , into a cohesive and governed data environment.</li><li>
Maintain accurate and comprehensive specimen inventory by tracking specimens collected from our company clinical trials and assay metadata generated from these collections.</li><li>
Embed automated quality control checks and validation rules directly into data pipelines, ensuring our data assets meet the highest standards for compliance and integrity.</li><li>
Support teams with reports of biomarker information using various query and database integration tools.</li><li>
Leverage the Microsoft Power Platform to eliminate manual processes in specimen tracking, data QC, and reporting. You will build and deploy reusable automation solutions that increase efficiency and accuracy across dozens of clinical trials.</li><li>
Design and implement robust, scalable data pipelines using Azure Data Factory, Azure SQL.</li><li>
Create and manage dynamic, interactive dashboards in Power BI and Fabric. You will develop data models and visualizations that provide our scientific and operational teams with self-service access to critical biomarker inventory and metadata.</li><li>
Maintain effective communications and relationships with project teams, vendors, and other cross-functional our company teams</li></ul>
NOTE: The preferred locations for this role are Rahway, NJ or North Wales, PA. If candidate is within 50 miles or commutable distance, you are expected to be onsite a portion of the time (hybrid). If outside of 50 miles, we may consider a remote option.
Qualifications:
Education:
<ul><li>Bachelor's (with 10 years), Master's (with 6 years) or Ph.D. (with 4 years) in bioinformatics, computer science, data science, engineering, data analytics, life sciences or other related field and relevant experience</li></ul>
Required Experience and Skills: 
<ul><li>A deep understanding of the clinical trial process: You can speak the language of protocols, specimens, and clinical data, and have a proven ability to translate scientific needs into technical solutions.</li></ul>
Proven expertise in designing and building solutions with modern data stacks (one or more of the following):<ul><li>
Microsoft Power Platform: Demonstrated expertise in building complex solutions with Power Automate, Power Apps, and Dataverse. You think in terms of flows, model-driven apps, and connectors.</li><li>
Data Engineering: High proficiency in SQL for complex querying and data manipulation, and practical experience using Python for data processing and automation.</li><li>
Database Architecture: Proven expertise in architecting and managing databases. You are skilled in designing normalized relational schemas and enforcing referential integrity.</li><li>
Cloud Data Expertise: Proven experience designing and managing data solutions in a major cloud environment, with a strong preference for Azure, including Azure Data Factory, and Gen1/2 dataflows.</li><li>
Advanced Business Intelligence Skills: Expertise in Power BI, including creating robust data models, writing advanced DAX, and focusing on performance optimization and user experience.</li></ul>
Preferred Experience and Skills:<ul><li>
Experience with LIMS Systems and building relational models and queries to empower stakeholder decisions.</li><li>
A builder's mindset with a demonstrated ability to take a problem from concept to a fully functional, automated solution as well as deep curiosity and willingness to experiment with state of the cloud automation and business intelligence technologies.</li><li>
A deep technical foundation, backed by an advanced degree in a field like Computer Science, Data Engineering, or Bioinformatics, which you're eager to apply to tangible, real-world challenges.</li><li>
Hands-on experience wrangling and optimizing large-scale data transformations using platforms like Databricks. You're also comfortable in a multi-cloud world, with familiarity navigating data ecosystems that span both Azure Blob Storage and Amazon S3.</li><li>
A willingness to investigate bleeding edge generative AI to data solutions Hands on experience with Copilot Studio and other tools to build intelligent, agents that empower scientists to query complex datasets using natural language is desired.</li><li>
Experience with incorporating Large Language Models (LLMs) to make data and data adjacent tools smarter, and the ability embed LLMs as autonomous agents in our backend processes.</li><li>
Fluency clinical development and experience navigating clinical systems with a strong preference for Veeva CTS.</li><li>
Mastery of tools like Jira and Confluence for fostering transparency and building a shared understanding across teams as well as a solid understanding of the software development lifecycle (SDLC) and the rigor required to build robust, compliant solutions in a validated (GxP) environment.</li><li>
Experience leveraging the Azure developer stacks, including deploying Azure Functions to run custom Python code for complex data processing or specialized API integrations, and using Azure Logic Apps to orchestrate enterprise-grade workflows that require advanced monitoring and connectivity.</li></ul>
#EligibleforERP
Required Skills:
Bioinformatics, Biomarker Research, Clinical Trials, Computer Science, Data Analytics, Microsoft Azure, Microsoft Dataverse, Microsoft Power Apps, Microsoft Power Automate, Python (Programming Language), Structured Query Language (SQL)
Preferred Skills: 
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights
EEOC GINA Supplement
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another&rsquo;s thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts
U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as &ldquo;remote&rdquo;.
The salary range for this role is
$139,600.00 - $219,700.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee&rsquo;s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully 
Merck &amp; Co., Inc., Rahway, NJ, USA, also known as Merck Sharp &amp; Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
No
Travel Requirements:
10%
Flexible Work Arrangements:
Remote
Shift:
1st - Day
Valid Driving License:
No
Hazardous Material(s):
N/A
Job Posting End Date:
11/30/2025<ul><li>A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. 
</li></ul> 
Requisition ID:R371425</div>

Associate Principal Scientist, Biomarker Operations / Inventory and Data Management

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